docstr: returns list of MLM scores for each sentence in list.
docstr_tok: ["returns","list","of","MLM","scores","for","each","sentence","in","list","."]
code: def score_sentences(self, sentences: List[str]):
      """
      returns list of MLM scores for each sentence in list.
      """
      return [self.score_sentence(sentence) for sentence in sentences]
  
file_path: NeMo/nemo/collections/common/parts/mlm_scorer.py
imports: from typing import List
  import numpy
  import torch
  from torch.nn.functional import softmax
  from transformers import AutoModelForMaskedLM, AutoTokenizer
label_desc: Use image node_id 2 for calling the MLMScorer obj's underlying member method code with example usage: obj.score_sentences(sentences) and returns: unknown